Evidence map›Paper›PMID 34250459›Full record

ArticleEpilepsy & behavior reports2021

Alternating hemiparesis in the context of hemolytic uremic syndrome and COVID-19 positivity.

Hugh D Simpson, Erica Johnson, Jeffrey Britton, Sherri Braksick

Open access · goldAbstract readCase Reports
In one paragraph

Article in Epilepsy & behavior reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Hugh D SimpsonDivision of Epilepsy, Mayo Clinic, Rochester, MN, USA.
Erica JohnsonDivision of Critical Care and Hospital Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Jeffrey BrittonDivision of Epilepsy, Mayo Clinic, Rochester, MN, USA.
Sherri BraksickDivision of Critical Care and Hospital Neurology, Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Arizona · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemiparesis has been reported in hemolytic uremic syndrome (HUS), however electrophysiological findings associated with this syndrome have not been well-characterized, and alternating hemiparesis presentations have not been reported. We present detailed electrophysiological and clinical findings in a case of alternating hemiparesis corresponding to alternating focal contralateral delta slowing on prolonged EEG monitoring in a case of HUS with COVID-19 positivity. A 24-year-old woman was admitted with bloody diarrhea, acute kidney injury, and focal seizures initially presumed due to Escherichia coli 0157:H7 Shiga-like toxin-related hemolytic uremic syndrome (ST-HUS). After admission, the patient tested positive for COVID-19. Continuous EEG monitoring revealed diffuse polymorphic delta slowing. Around 24 hours into the admission, the delta slowing became focal in the right hemisphere and was associated with a left hemiparesis. Around three days later, the clinical and EEG pattern reversed, showing left hemisphere slowing and an associated right hemiparesis. Additionally, 14 Hz positive spikes were observed throughout the recording period. Neuroimaging, including CT and MRI, was negative for acute ischemia throughout. The patient subsequently recovered over several days with no residual neurologic abnormalities.

Indexed as

COVID19EEGHemiparesisHemiplegiaHemolytic uremic syndrome

Identifiers

PMID34250459
PMCPMC8256673
OpenAlexW3178511845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.